Experimental Data Analysis - AAA500172
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Rozvrh Nástěnka
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Poslední úprava: Luca Cilibrasi, Ph.D. (04.02.2020)
Week 1: Introduction Week 2: Experimental research - numerical, categorical and ordinal variables; basic statistical principles of experimental design Week 3: Running statistical tests - The logic of p-values and how to read them Week 4: Regression - understanding if variables are related using correlations and regression, understanding the difference between causation and correlation Week 5: Comparing means - repeated measure t-test, independent samples t-test, ANOVA Week 6: Midterm test Week 7: Linear mixed models - introducing random effects Week 8: Linear mixed models - familiarising with r Week 9: Data analysis in r Weeks 10 - 12: Practice with real data Week 13: Submission of the final report |
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Poslední úprava: Luca Cilibrasi, Ph.D. (04.02.2020)
Students are required to obtain 70 points out of a 100 to pass the course. Points are divided as follows: 40 points for the midtem 40 points for the data report to be submitted at the end of the course 20 points for participation |